Publication Information

{'id': 'https://openalex.org/W3190813663', 'doi': 'https://doi.org/10.17762/ijritcc.v4i4.1951', 'title': 'An Image Based Approach of IRIS Recognition for Person Identification using Segmentation Algorithm', 'display_name': 'An Image Based Approach of IRIS Recognition for Person Identification using Segmentation Algorithm', 'publication_year': 2016, 'publication_date': '2016-04-30', 'ids': {'openalex': 'https://openalex.org/W3190813663', 'doi': 'https://doi.org/10.17762/ijritcc.v4i4.1951', 'mag': '3190813663'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://ijritcc.org/index.php/ijritcc/article/download/1951/1951', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2764488870', 'display_name': 'International Journal on Recent and Innovation Trends in Computing and Communication', 'issn_l': '2321-8169', 'issn': ['2321-8169'], 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5037219608', 'display_name': 'Prajakta Patil', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Prajakta D. Patil', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5113720092', 'display_name': 'Vaishali Bhagat', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Vaishali B. Bhagat', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5038463236', 'display_name': 'Pravin D. Soni', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Pravin D. Soni', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5058423383', 'display_name': 'Chetan J. Shelke', 'orcid': 'https://orcid.org/0000-0002-2200-1130'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Chetan J. Shelke', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 66}, 'biblio': {'volume': '4', 'issue': '4', 'first_page': '45', 'last_page': '47'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10828', 'display_name': 'Biometric Identification and Security', 'score': 0.9877, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10828', 'display_name': 'Biometric Identification and Security', 'score': 0.9877, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/iris-recognition', 'display_name': 'Iris Recognition', 'score': 0.94036}, {'id': 'https://openalex.org/keywords/iris', 'display_name': 'IRIS (biosensor)', 'score': 0.801934}, {'id': 'https://openalex.org/keywords/hamming-distance', 'display_name': 'Hamming distance', 'score': 0.62593234}, {'id': 'https://openalex.org/keywords/normalization', 'display_name': 'Normalization', 'score': 0.59655917}, {'id': 'https://openalex.org/keywords/identification', 'display_name': 'Identification', 'score': 0.4393987}], 'concepts': [{'id': 'https://openalex.org/C112356035', 'wikidata': 'https://www.wikidata.org/wiki/Q1672722', 'display_name': 'Iris recognition', 'level': 3, 'score': 0.94036}, {'id': 'https://openalex.org/C2779503344', 'wikidata': 'https://www.wikidata.org/wiki/Q5973514', 'display_name': 'IRIS (biosensor)', 'level': 3, 'score': 0.801934}, {'id': 'https://openalex.org/C184297639', 'wikidata': 'https://www.wikidata.org/wiki/Q177765', 'display_name': 'Biometrics', 'level': 2, 'score': 0.7810871}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.7316072}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.705883}, {'id': 'https://openalex.org/C89600930', 'wikidata': 'https://www.wikidata.org/wiki/Q1423946', 'display_name': 'Segmentation', 'level': 2, 'score': 0.6380529}, {'id': 'https://openalex.org/C193319292', 'wikidata': 'https://www.wikidata.org/wiki/Q272172', 'display_name': 'Hamming distance', 'level': 2, 'score': 0.62593234}, {'id': 'https://openalex.org/C136886441', 'wikidata': 'https://www.wikidata.org/wiki/Q926129', 'display_name': 'Normalization (sociology)', 'level': 2, 'score': 0.59655917}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.584727}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.5658395}, {'id': 'https://openalex.org/C2777394604', 'wikidata': 'https://www.wikidata.org/wiki/Q173318', 'display_name': 'Pupil', 'level': 2, 'score': 0.45009407}, {'id': 'https://openalex.org/C116834253', 'wikidata': 'https://www.wikidata.org/wiki/Q2039217', 'display_name': 'Identification (biology)', 'level': 2, 'score': 0.4393987}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.21168822}, {'id': 'https://openalex.org/C59822182', 'wikidata': 'https://www.wikidata.org/wiki/Q441', 'display_name': 'Botany', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C169760540', 'wikidata': 'https://www.wikidata.org/wiki/Q207011', 'display_name': 'Neuroscience', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C144024400', 'wikidata': 'https://www.wikidata.org/wiki/Q21201', 'display_name': 'Sociology', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C19165224', 'wikidata': 'https://www.wikidata.org/wiki/Q23404', 'display_name': 'Anthropology', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C86803240', 'wikidata': 'https://www.wikidata.org/wiki/Q420', 'display_name': 'Biology', 'level': 0, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://ijritcc.org/index.php/ijritcc/article/download/1951/1951', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S2764488870', 'display_name': 'International Journal on Recent and Innovation Trends in Computing and Communication', 'issn_l': '2321-8169', 'issn': ['2321-8169'], 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W36407846', 'https://openalex.org/W3080483345', 'https://openalex.org/W3019043150', 'https://openalex.org/W2996983543', 'https://openalex.org/W2993042060', 'https://openalex.org/W2904861239', 'https://openalex.org/W2579043524', 'https://openalex.org/W2566630751', 'https://openalex.org/W2557390811', 'https://openalex.org/W2523369306', 'https://openalex.org/W2280037189', 'https://openalex.org/W2188032319', 'https://openalex.org/W2183971395', 'https://openalex.org/W2182115223', 'https://openalex.org/W2134160358', 'https://openalex.org/W2127725050', 'https://openalex.org/W2116646736', 'https://openalex.org/W1978440120', 'https://openalex.org/W1506246052', 'https://openalex.org/W1469282'], 'abstract_inverted_index': {'A': [0], 'biometric': [1, 31, 47], 'system': [2, 22, 33, 49, 53], 'gives': [3], 'automatic': [4], 'identification': [5, 32, 48], 'of': [6, 57, 80, 95, 104, 145, 172, 196, 204], 'an': [7, 55, 58, 105], 'individual': [8], 'based': [9], 'on': [10, 86], 'a': [11, 188], 'unique': [12], 'feature': [13], 'or': [14], 'characteristic': [15], 'possessed': [16], 'by': [17, 167, 177], 'the': [18, 26, 42, 61, 64, 70, 87, 93, 96, 101, 117, 133, 136, 146, 150, 160, 170, 173, 179, 194, 202, 205], 'individual.': [19], 'Iris': [20, 36, 51, 128], 'recognition': [21, 37, 52, 82], 'is': [23, 38, 66, 90, 141], 'regarded': [24], 'as': [25, 187], 'most': [27, 43], 'reliable': [28, 44], 'and': [29, 45, 72, 107, 113, 121, 138], 'accurate': [30, 46], 'available.': [34], 'Also,': [35], 'considered': [39], 'to': [40, 115, 158], 'be': [41, 110], 'present.': [50], 'captures': [54], 'image': [56, 65], 'individual’s': [59], 'eye,': [60], 'iris': [62, 81, 98, 126, 137, 154, 165, 174, 206], 'in': [63, 100, 125], 'then': [67, 135], 'meant': [68], 'for': [69, 74, 92], 'segmentation': [71], 'normalization': [73], 'extracting': [75], 'its': [76], 'features.': [77], 'The': [78, 152, 182], 'performance': [79], 'systems': [83], 'mainly': [84], 'depends': [85], 'segmentation.': [88], 'Segmentation': [89], 'used': [91], 'localization': [94], 'correct': [97], 'region': [99, 103, 155], 'particular': [102], 'eye': [106, 147], 'it': [108], 'should': [109], 'done': [111], 'accurately': [112], 'correctly': [114], 'remove': [116], 'eyelids,': [118], 'eyelashes,': [119], 'reection': [120], 'pupil': [122, 139], 'noises': [123], 'present': [124], 'region.': [127], 'images': [129], 'are': [130], 'selected': [131], 'from': [132, 143], 'Database,': [134], 'boundary': [140], 'detected': [142], 'rest': [144], 'image,by': [148], 'removing': [149], 'noises.': [151], 'segmented': [153], 'was': [156, 185], 'normalized': [157, 180], 'compress': [159], 'dimensional': [161], 'inconsistencies': [162], 'between': [163, 201], 'two': [164], 'regions': [166], 'using': [168], 'Then': [169], 'features': [171], 'were': [175], 'encoded': [176], 'convolving': [178], 'iris.': [181], 'Hamming': [183], 'distance': [184], 'chosen': [186], 'matching': [189], 'metric': [190], 'parameter,': [191], 'which': [192], 'gave': [193], 'measure': [195], 'how': [197], 'many': [198], 'bits': [199], 'disagreed': [200], 'templates': [203], '.': [207]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3190813663', 'counts_by_year': [], 'updated_date': '2024-12-06T01:21:18.390427', 'created_date': '2021-08-16'}